Using Artificial Neural Networks for Timeseries Smoothing and Forecasting

£129.50

Using Artificial Neural Networks for Timeseries Smoothing and Forecasting

Case Studies in Economics

Artificial intelligence

Author: Jaromir Vrbka

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Collection: Studies in Computational Intelligence

Language: English

Published by: Springer

Published on: 4th September 2021

Format: LCP-protected ePub

Size: 57 Mb

ISBN: 9783030756499


Objective of the Publication

The aim of this publication is to identify and apply suitable methods for analysing and predicting the time series of gold prices, together with acquainting the reader with the history and characteristics of the methods and with the time series issues in general.

Methods Covered

Both statistical and econometric methods, and especially artificial intelligence methods, are used in the case studies. The publication presents both traditional and innovative methods on the theoretical level, always accompanied by a case study, i.e. their specific use in practice. Furthermore, a comprehensive comparative analysis of the individual methods is provided.

Intended Audience

The book is intended for readers from the ranks of academic staff, students of universities of economics, but also the scientists and practitioners dealing with the time series prediction.

Practical Applications

From the point of view of practical application, it could provide useful information for speculators and traders on financial markets, especially the commodity markets.

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